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The vulnerability of distributed state estimator under stealthy attacks
被引:26
|作者:
Sui, Tianju
Sun, Xi-Ming
[1
]
机构:
[1] Dalian Univ Technol, Key Lab Intelligent Control & Optimizat Ind Equip, Minist Educ, Dalian, Peoples R China
来源:
基金:
中国国家自然科学基金;
国家重点研发计划;
关键词:
Cyber-physical systems;
Distributed state estimation;
Security;
Stealthy attacks;
CYBER-PHYSICAL SYSTEMS;
SECURITY;
D O I:
10.1016/j.automatica.2021.109869
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
This paper focuses on a spatially large linear system with a distributed array of sensors, each of which offers partial state measurements. Suppose that each sensor runs a distributed state estimator and they may be suffering either partially or fully manipulated stealthy attacks. A partially manipulated attack can inject data to replace the measurements from an infected sensor. While, a fully manipulated attack can totally control the infected sensor including its computation and transmission. Moreover, an attack on sensor is called stealthy if it produces bounded changes in the detection residue. We will study both the impacts of partially and fully manipulated stealthy attacks on the distributed state estimator. Correspondingly, a distributed state estimation system is called vulnerable if one of its local estimate can be destabilized by a stealthy attack. Considering both static and dynamic systems, we will provide four necessary and sufficient conditions for the vulnerability of static/dynamic system under partially/fully manipulated stealthy attacks. Numerical examples are given to illustrate the theoretical results. (C) 2021 Elsevier Ltd. All rights reserved.
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